Analytics Engineer Data
Rp354.966.652 (IDR)/yr
Rp170.657,04 (IDR)/hr
Rp10.152.046 (IDR)/yr
The average analytics engineer data gross salary in Batam, Indonesia is Rp354.966.652 or an equivalent hourly rate of Rp170.657. This is 21% lower (-Rp92.644.671) than the average analytics engineer data salary in Indonesia. In addition, they earn an average bonus of Rp10.152.046. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Batam, Indonesia. An entry level analytics engineer data (1-3 years of experience) earns an average salary of Rp254.916.127. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of Rp409.960.215.
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Rp408.396.820 (IDR)
15 %
Based on our compensation data, the estimated salary potential for Analytics Engineer Data will increase 15 % over 5 years.
This chart displays the highest level of education for:
Analytics Engineer Data, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salaryThe cost of living in Batam, Indonesia is 5% less than the average cost of living in Indonesia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageBatam, officially the City of Batam or Batam City (Indonesian: Kota Batam, not to be confused with Batam Kota, a district within this city), is the largest city in the Indonesian province of the Riau Islands. The city of Batam does not simply include Batam Island, which is significantly smaller at around 410 square kilometres (160 mi2). It also includes other major islands such as Rempang at 165 square kilometres (64 mi2) and Galang at 80 square kilometres (31 mi2), the three-interconnected isla
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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